Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
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cDCGANPyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
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mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
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digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
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cluttered-mnistExperiments on cluttered mnist dataset with Tensorflow.
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AdaBound-tensorflowAn optimizer that trains as fast as Adam and as good as SGD in Tensorflow
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playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
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MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
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BP-NetworkMulti-Classification on dataset of MNIST
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deeplearning-mpoReplace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
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CNN Own DatasetCNN example for training your own datasets.
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Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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crohme-data-extractorA modified extractor for the CROHME handwritten math symbols dataset.
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digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
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VAE-Gumbel-SoftmaxAn implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
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tensorflow-mnist-convnetsNeural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures
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digdetA realtime digit OCR on the browser using Machine Learning
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GANs-KerasGANs Implementations in Keras
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LeNet-from-ScratchImplementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
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mnist-flaskA Flask web app for handwritten digit recognition using machine learning
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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
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DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
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keras gpyoptUsing Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
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mnist testmnist with Tensorflow
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SimpNet-TensorflowA Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture
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rust-simple-nnSimple neural network implementation in Rust
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
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cuda-neural-networkConvolutional Neural Network with CUDA (MNIST 99.23%)
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Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
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haskell-vaeLearning about Haskell with Variational Autoencoders
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tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
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catseyeNeural network library written in C and Javascript
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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chainer-ADDAAdversarial Discriminative Domain Adaptation in Chainer
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Bounding-Box-Regression-GUIThis program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归,边框回归可视化,交并比,非极大值抑制,目标检测。
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KerasMNISTKeras MNIST for Handwriting Detection
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